Our Philosophy

The future of managing cities depends on developing systems that can deal with the computational demands of expanding digitized data and related advanced software solutions. MCRLab research focusses on the development, testing and deployment of algorithms, methods, and tools to enable city personnel, citizens, and policy makers to interact with the ubiquitous computing infrastructure of future smart cities.

Smart Health & Well-Being

Design, implement and test algorithms and tools for healthcare purposes (e.g. diagnostic or therapeutic) to enhance the well-being of citizens.

IoT, Wearables and Analytics

Adapt and expand knowledge extraction, data mining techniques and tools to fully exploit the content of soft/hard sensors and help fuse the generated data in immersive visual environments.

Haptics & Seemless Interactions

Design and develop representations for effortless, anytime, anywhere human-machine interactions and communication (3D, AR, VR, Haptics, Serious Games, etc.).

Biomedical Eng. & Quality of Life

Develop an advanced, integrated and flexible biomedical Engineering systems and models to enhance citizen's Quality of Life in smart cities.

Cyber-Security and Privacy

Develop multisensory biometric authentication methods to enhance access control and reduce security breaches.

Cyber Phisycal Systems

Develop Cyber-physical Platforms to support the integration of various system components.

Latest News

Byelsaddik Jun 16, 2017

El Saddik: Entrevistas a participantes en las II Jornadas eMadrid sobre e-Learning

Prof. El Saddik in an Entrevistas a participantes en las II Jornadas eMadrid sobre e-Learning:  https://vimeo.com/25352184  

Byelsaddik May 23, 2017

A Dataset for Psychological Human Needs Detection from Social Networks

Our paper: A Dataset for Psychological Human Needs Detection from Social Networks," is available under the "Early Access" area on IEEEXplore - D

Byelsaddik Apr 27, 2017

Top 25 most downloaded IEEE Sensors Journal

Our paper: Evaluating and Improving the Depth Accuracy of Kinect for Windows v2, IEEE Sensors Journal, Vol. 15, No. 8, August 2015, continues to

Byelsaddik Apr 9, 2017

PhD candidate Faisal Arafsha wins 3rd Place competition

Congratulations for Faisal Arafsha to win the 3rd place for his work titles: Cloud-based Tactile Health system in Foot

Byelsaddik Apr 9, 2017

The 2017 Pacific-Rim Conference on Multimedia (PCM)

PCM Conference (http://www.pcm2017.org/) PCM2017 is the 18th conference of this highly successful and increasingly

Byelsaddik Mar 26, 2017

Heart Rate Variability extraction from videos signals: ICA vs. EVM comparison

K. Alghoul; S. Alharthi; H. Al Osman; A. El Saddik, "Heart Rate Variability extraction from videos signals: ICA vs. EVM comparison," in IEEE Acce